Halpern et al 2008 Science: Cumulative Impacts
Halpern et al 2012 Nature: Ocean Health Index
ESRI UC in San Diego on July 16, 2014
Halpern et al 2008 Science: Cumulative Impacts
Halpern et al 2012 Nature: Ocean Health Index
Pollution: fertilizer, pesticides, impervious surfaces, population density, ship traffic and ports
Fishing Pressure: pelagic low-bycatch, pelagic high-bycatch, demersal destructive, demersal non-destructive low-bycatch, demersal non-destructive high-bycatch, artisanal
Climate Change: sea temperature anomoly, ultraviolet radiation, ocean acidification, sea level rise (new)
Other: invasive species, oil rigs, shipping
1 km2 pixels in Mollweide projection. Download at nceas.ucsb.edu/globalmarine
\[ I_C = \sum_{i=1}^{n} \sum_{j=1}^{m} P_i * E_j * w_{i,j} \]
Download Python Toolbox at github.com/ohi-science/cumimpacts
Linked from ohi-science.org
Soon linked from nceas.ucsb.edu/globalmarine
Update with numpy matrix math for speed up: 2 hours to 20 seconds (Dan Yocum)
Is it pristine?
"A healthy ocean sustainably delivers a range of benefits to people now and in the future."
US West Coast Halpern et al (2014) PLoS ONE
Brazil Elfes et al (2014) PLoS ONE
Flower
Map
For example, calculate Baltic Health Index every year using scenarios bhi1980,..., bhi2014 as folders.
library(ohicore)
for (dir_scenario in sprintf('~/ohibaltic/bhi%d', 1980:2014)){
setwd(dir_scenario)
conf = Conf('conf')
layers = Layers('layers.csv', 'layers')
scores = CalculateAll(conf, layers)
write.csv(scores, 'scores.csv')
}
free, cross-platform, open source, web based:
shiny web application, ggplot2 figures, dplyr data manipulation
ohiprep | ohi-[scenario] | ohicore
ohicorelibrary(devtools)
install_github('ohi-science/ohicore')
ohi-globalDownload ZIP, Clone, Fork